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features
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support

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Description

The Accern No-Code NLP Platform empowers citizen data scientists to extract insights from unstructured data, minimize time to value and maximize ROI with pre-built AI/ML/NLP solutions. Recognized as the first No-Code NLP platform and industry leader with the highest accuracy scores, Accern also enables data scientists to customize end-to-end workflows that enhance existing models and enrich BI dashboards.

Description

Since 2007, financial institutions have been mandated to submit reports that adhere to the COREP and FINREP taxonomies using the XBRL standard. With the introduction of these regulations, numerous banks in Poland encountered significant difficulties. Not only were the reports challenging to compile, but there was also a notable absence of effective tools to assist in the management and preparation of XBRL reports. In response to this predicament, we collaborated with GPM Systems Sp. z o.o. to develop an application designed to facilitate the creation and management of these required filings in accordance with the XBRL format. The aSISt application effectively conceals the intricate technical aspects of XBRL behind an easy-to-use interface, greatly streamlining the filing process for users. The interface offers forms resembling Excel spreadsheets, enhancing the application's user-friendliness. Furthermore, the filing preparation has been distilled into four straightforward steps. aSISt is equipped to manage reporting periods and taxonomy versioning, ensuring that each report adheres to the appropriate version of the taxonomy selected. Additionally, this innovative solution not only improves efficiency but also helps banks maintain compliance with regulatory requirements.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Slack
Adobe Acrobat
CircleCI
Docker
Elasticsearch
GitLab
Google Cloud BigQuery
Jenkins
Kibana
Microsoft Excel
Microsoft OneDrive
MongoDB
MySQL
PostgreSQL
Sisense
Snowflake
SpotIQ
Tableau
k6

Integrations

Slack
Adobe Acrobat
CircleCI
Docker
Elasticsearch
GitLab
Google Cloud BigQuery
Jenkins
Kibana
Microsoft Excel
Microsoft OneDrive
MongoDB
MySQL
PostgreSQL
Sisense
Snowflake
SpotIQ
Tableau
k6

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Accern

Founded

2014

Country

United States

Website

accern.com

Vendor Details

Company Name

FINGO

Website

www.fingo.pl/en/experience/asist/

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Product Features

Financial Reporting

"What If" Scenarios
Audit Trail
Balance Sheet
Cash Management
Consolidation / Roll-Up
Forecasting
General Ledger
Income Statements
Multi-Company
Multi-Department / Project
Profit / Loss Statement

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